As we can see from both Table REF  and Table REF , in the oracle setting, the best model outperforms all the state-of-the-art entity linking models by a large margin, even surpass [1]} le-titov-2018-improving by 3.28 F1 points on AIDA-CoNLL test set. This result shows that a better type prediction system can further improve upon the state-of-the-state entity linking systems. However, in the predict setting, the type injection models have worse performance than the baseline. The degradation might be attributed to the poor performance of the two state-of-the-art fine grained entity typing systems. To verify this, we measure the performance of the two typing systems on AIDA-CoNLL development set.The mention's golden types are set as its linked entity's types. As shown in Table  REF , the ultra-fine entity typing system [2]} only achieves 26.52% \(F1_{\text{mi}}\)  score while the ZOE system [3]} achieves 66.12% \(F1_{\text{mi}}\)  scoreThe size of type sets of ultra-fine typing system is much larger than that of ZOE.
which are insufficient to improve state-of-the-art entity linking system with more than 92% F1 score.
